Clustering on Engine1
26.58ARIGTSA-PCA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GTSA-PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 26.58 | 56.21 | 31.59 | |
| Kernel PCA (RBF)Feature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 15.78 | 44.36 | 26.44 | |
| Regular PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 8.38 | 49.59 | 17.99 | |
| GTSA-PCA-WClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.1025 | 0.4686 | 0.2304 | |
| GTSA-PCA-WClustering Method=Agglomerative, Dimensionality=2D, Distance Metric=Wasserstein2026.04 | 0.0953 | 0.5954 | 0.2493 | |
| UMAPClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.0865 | 0.5238 | 0.2262 | |
| UMAPClustering Method=Agglomerative, Dimensionality=2D2026.04 | -0.0252 | 0.5884 | 0.1575 |